Preserving Context in Digital Writing: When LLM Meets Domain Experts

Preserving Context in Digital Writing: When LLM Meets Domain Experts

In the digital age, preserving context in writing has become increasingly important. As writers, we strive to create bi-directional linkages between various products, from original source materials to stand-alone notes and shared documents. The use of digital tools and information sources has revolutionized the way we approach our writing process, allowing us to create sources that hold long-term value and not just for one project.

One concept that has greatly influenced my workflow is the idea of context. I believe that highlights and notes should exist within the context of the original sources. This means that, even at a later point in time, a smart note should be able to link back to the original document and its specific location. A smart note, in this context, refers to an idea that can stand on its own and is understandable without referring back to the original source.

To bring all these elements together, I rely on smart notes generated from multiple original sources to craft my final product, usually a blog post. As I progress through the writing process, I find myself relying less on the context of the previous sources and focusing more on my interpretation and speculation. Through accumulating annotated PDFs and other products over time, I have found iCloud to be a valuable tool for securely storing and accessing my generated content.

While there are various tools available for this purpose, I personally prefer using Highlights, a product specific to Apple. Compared to alternatives like Zotero, Highlights offers a simpler and more consistent user experience. The highlighting and annotation processes are crucial in preserving context, as they connect personal additions to specific locations within the source text. Additionally, the format in which these files are created plays a role, and markdown stands out as a reliable choice. Markdown text files have the advantage of never aging out of usefulness, ensuring the longevity of our work.

Both Zotero and Highlights embed information about the location of highlights and notes within the original document. When exporting notes to Obsidian, for example, a link is included that allows Obsidian users to access the original text in which the highlight or note was embedded. This seamless integration between different tools ensures that context is preserved throughout the writing process.

Now, let's shift our focus to OpenAGI, a fascinating development in the field of artificial intelligence. OpenAGI takes complex tasks and formulates them as natural language queries, which serve as input to the Language Model (LLM). The LLM, in turn, selects, synthesizes, and executes models provided by OpenAGI to tackle the given task. To enhance the LLM's task-solving ability, a mechanism called Reinforcement Learning from Task Feedback (RLTF) has been proposed.

RLTF utilizes the task-solving result as feedback to improve the LLM's capabilities in addressing various tasks. This creates a feedback loop that allows the LLM to continuously self-improve. By synthesizing external models and incorporating feedback, OpenAGI demonstrates the potential of combining natural language understanding with domain expertise.

Incorporating unique ideas or insights into our writing can greatly enhance its value and impact. By exploring the intersection of preserving context in digital writing and the advancements in AI, we can uncover new possibilities. For example, could the concept of context preservation be applied to the training and fine-tuning of language models like the LLM? Could the feedback loop in RLTF be adapted to improve the preservation of context in digital writing?

In conclusion, preserving context in digital writing is essential for creating valuable and long-lasting content. By utilizing tools like Highlights and Obsidian, we can ensure that our annotations and notes remain connected to their original sources. Additionally, the advancements in AI, such as OpenAGI and RLTF, highlight the potential for combining natural language understanding with domain expertise. As writers, we should strive to incorporate these actionable insights into our work:

1. Embrace digital tools: Explore tools like Highlights and Obsidian to seamlessly preserve context in your digital writing workflow.

2. Foster a feedback loop: Just like RLTF improves the LLM's task-solving ability, seek feedback from your audience to continuously improve the context and value of your writing.

3. Explore interdisciplinary connections: Look beyond your field and find unique insights by combining concepts from different domains, such as the intersection of preserving context and advancements in AI.

By following these actionable advice, you can enhance your writing process and create content that stands the test of time while incorporating cutting-edge developments.